首页 | 本学科首页   官方微博 | 高级检索  
     检索      

A novel method for mobile robot simultaneous localization and mapping
作者姓名:LI  Mao-hai  HONG  Bing-rong  LUO  Rong-hua  WEI  Zhen-hua
作者单位:School of Computer Science,Harbin Institute of Technology,Harbin 150001,China
基金项目:Project (No. 2002AA735041) supported by the Hi-Tech Researchand Development Program (863) of China
摘    要:INTRODUCTION A key prerequisite for a truly autonomous robot is that it can simultaneously localize itself and accu-rately map its surroundings (Kortenkamp et al., 1998), which is known as Simultaneous Localization and Mapping (SLAM), which, when phrased as a state estimation problem, involves a variable number of dimensions. Murphy and Russell (2001) adopted Rao-Blackwellized particle filters (RBPFs) as an effective way for representing alternative hypotheses on robot paths and ass…

关 键 词:移动机器人  RBPF  单眼视觉  SLAM
收稿时间:2005-10-25
修稿时间:2006-01-18

A novel method for mobile robot simultaneous localization and mapping
LI Mao-hai HONG Bing-rong LUO Rong-hua WEI Zhen-hua.A novel method for mobile robot simultaneous localization and mapping[J].Journal of Zhejiang University Science,2006,7(6):937-944.
Authors:Mao-hai Li  Bing-rong Hong  Rong-hua Luo  Zhen-hua Wei
Institution:(1) School of Computer Science, Harbin Institute of Technology, Harbin, 150001, China
Abstract:
Keywords:Mobile robot  Rao-Blackwellized particle filter (RBPF)  Monocular vision  Simultaneous localization and mapping (SLAM)
本文献已被 CNKI 维普 万方数据 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号